Background characterization techniques for target detection using scene metrics and pattern recognition

Paul V. Noah; Meg A. Noah; John W. Schroeder; Julian A. Chernick

doi:10.1117/12.21796

1 September 1990 Background characterization techniques for target detection using scene metrics and pattern recognition

Paul V. Noah, Meg A. Noah, John W. Schroeder, Julian A. Chernick

Author Affiliations +

Proceedings Volume 1310, Signal and Image Processing Systems Performance Evaluation; (1990) https://doi.org/10.1117/12.21796
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

The U.S. Army has a requirement to develop systems for the detection and identification of ground targets in a clutter environment. Autonomous Homing Munitions (AHM) using infrared, visible, millimeter wave and other sensors are being investigated for this application. Advanced signal processing and computational approaches using pattern recognition and artificial intelligence techniques combined with multisensor data fusion have the potential to meet the Army's requirements for next generation ARM.

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Paul V. Noah, Meg A. Noah, John W. Schroeder, and Julian A. Chernick "Background characterization techniques for target detection using scene metrics and pattern recognition", Proc. SPIE 1310, Signal and Image Processing Systems Performance Evaluation, (1 September 1990); https://doi.org/10.1117/12.21796

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